Hyperconverged Systems for Digital Transformation
Chris Gugger
Director – Infrastructure Solutions Marketing
Hyperconverged Systems for Digital Transformation Chris Gugger - - PowerPoint PPT Presentation
Hyperconverged Systems for Digital Transformation Chris Gugger Director Infrastructure Solutions Marketing Agenda Introductions Hyperconverged Market An Industry Analyst Perspective Hyperconverged Decision Key Customer
Director – Infrastructure Solutions Marketing
§ Established: 1996 § Employees: ~100 § Analysts track ~250 companies contributing over $3 trillion in technology revenue per year § Client reference > 16 Fortune 500 § Decision makers: 1,500 § Influencers: 1,500 § End user surveys: >15,000/year § Financial results ground analysis
performance, profit pools and best practices § 360° market view
§ QuantCenter Information platform (360° landscape view) § Data models § Research practices: data center, telecom, devices, IoT, cloud, software, services, digital marketing and digital transformation § Tailored services
measurement services
services
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Legacy IT transformation hinges on: § Scalability to accommodate future workloads § Security across workloads, hardware and software § Administrative simplicity Digital transformation hinges on: § Physical infrastructure location is irrelevant § Application and data protection supersedes perimeter security methods engineered for an on-premises world Technologies enabling transformation: § Hyperconverged § Centralized management and orchestration
Encryption Policies Provisioning Usage/billing
0% 10% 20% 30% 40% Percent of Respondents (n = 200)
SOURCE: TBR HYPERCONVERGED PLATFORMS CUSTOMER RESEARCH, June 2016
Rigid architectures = static scaling Complex & labor intensive = consumes resources Rising cost = limited workload innovation
Current storage architecture is outdated or underperforming Cost versus traditional hardware infrastructure Hardware infrastructure was due for an upgrade Reduce operating processes Improve efficiency of internal processes TCO versus traditional infrastructure Effective management of operations/processes
0% 10% 20% 30% 40% 50% 60% Productivity and/or collaboration Development and/or testing Customer resource management (CRM) Cloud hosting Data warehousing Business processing (ERP) Database Data back up and recovery Development and operations Business intelligence and/or analytics (e.g., data mining, predictive) Percent of respondents (n = 200)
SOURCE: TBR HYPERCONVERGED PLATFORMS CUSTOMER RESEARCH, DECEMBER 2016
0% 10% 20% 30% 40% 50% 60% Time to deployment Ease of installation Compatibility with existing infrastructure Capacity Application performance Percent of respondents (n = 179)
SOURCE: TBR HYPERCONVERGED PLATFORMS CUSTOMER RESEARCH, June 2016
Server Workloads § All virtualized workloads running on VMware, including mission-critical and tier-1 apps § Application uptime ensured through HA, DRS, vSAN § Easily add up to 64 nodes for increased capacity Virtual Private Cloud § Service Provider VPC building block for MSP and hosting § Consistently and easily deployed on-prem and
§ Quick and easy scale-out appliances to increase capacity EUC/VDI § Up to 800 virtual desktops § Handle peak performance requirements (boot, login, read/write storms) § Quick and easy deployment and configuration § On-prem or Cloud-hosted Regional Offices § Consistent footprint and deployment operations § IT-in-a-box § Simplified user experience ideal for non-VMware experts § Centralized management for remote deployment and configuration